Mengting Chen , Jaime Catherine Schussler , Deb Mishra
{"title":"Spatiotemporal analysis of rainfall erosivity in Oklahoma","authors":"Mengting Chen , Jaime Catherine Schussler , Deb Mishra","doi":"10.1016/j.catena.2026.109853","DOIUrl":null,"url":null,"abstract":"<div><div>The Universal Soil Loss Equation (USLE) and its family of models have been used for soil loss prediction and erosion mitigation. These empirical models relied on precipitation data predating 1957 to calculate the <em>Rainfall Erosivity (R-factor)</em> value; however, the isoerodent map published in AH703 is still widely used in soil loss estimations today. Climatic and precipitation changes have presented questions about the validity and reliability of using these estimation methods. Additionally, instrumentation, precipitation gauging networks, and data availability have improved since the original publication of the AH703 isoerodent map. This study conducted a spatiotemporal analysis in the GIS environment to estimate modern rainfall erosivity across Oklahoma using high-resolution rainfall data. Average annual and monthly rainfall erosivity factors, <em>R-factor</em> and <span><math><msub><mi>R</mi><mi>m</mi></msub></math></span><em>-factor</em>, respectively, were estimated using 5-min interval rainfall data collected from 111 Oklahoma Mesonet sites. The sites had an average historical precipitation record of 28 years. Using new rainfall erosivity values, spatial variation was assessed within two geographical segments: a) NOAA-defined state climate divisions and b) EPA-defined Level III ecoregions. Temporal analysis revealed that rainfall erosivity occurring between April and October contributed 86% of the annual R-factor. This study also developed an updated isoerodent map for the state of Oklahoma. The updated R-factor significantly differed from the original AH703 isoerodent map. Specifically, comparing the isoerodent maps revealed that the R-factor changed between −20% and 112%. The reasons contribute to the discrepancies between the two maps are also discussed.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"265 ","pages":"Article 109853"},"PeriodicalIF":5.7000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816226000639","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The Universal Soil Loss Equation (USLE) and its family of models have been used for soil loss prediction and erosion mitigation. These empirical models relied on precipitation data predating 1957 to calculate the Rainfall Erosivity (R-factor) value; however, the isoerodent map published in AH703 is still widely used in soil loss estimations today. Climatic and precipitation changes have presented questions about the validity and reliability of using these estimation methods. Additionally, instrumentation, precipitation gauging networks, and data availability have improved since the original publication of the AH703 isoerodent map. This study conducted a spatiotemporal analysis in the GIS environment to estimate modern rainfall erosivity across Oklahoma using high-resolution rainfall data. Average annual and monthly rainfall erosivity factors, R-factor and -factor, respectively, were estimated using 5-min interval rainfall data collected from 111 Oklahoma Mesonet sites. The sites had an average historical precipitation record of 28 years. Using new rainfall erosivity values, spatial variation was assessed within two geographical segments: a) NOAA-defined state climate divisions and b) EPA-defined Level III ecoregions. Temporal analysis revealed that rainfall erosivity occurring between April and October contributed 86% of the annual R-factor. This study also developed an updated isoerodent map for the state of Oklahoma. The updated R-factor significantly differed from the original AH703 isoerodent map. Specifically, comparing the isoerodent maps revealed that the R-factor changed between −20% and 112%. The reasons contribute to the discrepancies between the two maps are also discussed.
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.